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KDD
1998
ACM
228views Data Mining» more  KDD 1998»
15 years 9 months ago
Direct Marketing Response Models Using Genetic Algorithms
Direct marketing response models seek to identify individuals most likely to respond to marketing solicitations. Such models are commonly evaluatedon classification accuracyand so...
Siddhartha Bhattacharyya
EUSAI
2007
Springer
15 years 8 months ago
Toward Recognition of Short and Non-repetitive Activities from Wearable Sensors
Activity recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware computing. Most approaches for activity recognition focus on...
Andreas Zinnen, Kristof Van Laerhoven, Bernt Schie...
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
15 years 8 months ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....
MCS
2000
Springer
15 years 8 months ago
A Hybrid Projection Based and Radial Basis Function Architecture
We introduce a mechanism for constructing and training a hybrid architecture of projection based units and radial basis functions. In particular, we introduce an optimization sche...
Shimon Cohen, Nathan Intrator
FLAIRS
2008
15 years 7 months ago
Machine Learning to Predict the Incidence of Retinopathy of Prematurity
Retinopathy of Prematurity (ROP) is a disorder afflicting prematurely born infants. ROP can be positively diagnosed a few weeks after birth. The goal of this study is to build an ...
Aniket Ray, Vikas Kumar, Balaraman Ravindran, Ling...